The utility of artificial neural network models lies in the fact
that they can be used to infer functions from observations-making
them especially useful in applications where the complexity of data
or tasks makes the design of such functions by hand impractical.
Exploring Neural Networks with C# presents the important properties
of neural networks-while keeping the complex mathematics to a
minimum. Explaining how to build and use neural networks, it
presents complicated information about neural networks structure,
functioning, and learning in a manner that is easy to understand.
Taking a "learn by doing" approach, the book is filled with
illustrations to guide you through the mystery of neural networks.
Examples of experiments are provided in the text to encourage
individual research. Online access to C# programs is also provided
to help you discover the properties of neural networks. Following
the procedures and using the programs included with the book will
allow you to learn how to work with neural networks and evaluate
your progress. You can download the programs as both executable
applications and C# source code from
http://home.agh.edu.pl/~tad//index.php?page=programy&lang=en
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